Hierarchical Pathfinding and AI-Based Learning Approach in Strategy Game Design
Strategy game and simulation application are an exciting area with many opportunities for study and research. Currently most of the existing games and simulations apply hard coded rules so the intelligence of the computer generated forces is limited. After some time, player gets used to the simulati...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2008-01-01
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| Series: | International Journal of Computer Games Technology |
| Online Access: | http://dx.doi.org/10.1155/2008/873913 |
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| _version_ | 1850213953432453120 |
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| author | Le Minh Duc Amandeep Singh Sidhu Narendra S. Chaudhari |
| author_facet | Le Minh Duc Amandeep Singh Sidhu Narendra S. Chaudhari |
| author_sort | Le Minh Duc |
| collection | DOAJ |
| description | Strategy game and simulation application are an exciting area with many opportunities for study and research. Currently most of the existing games and simulations apply hard coded rules so the intelligence of the computer generated forces is limited. After some time, player gets used to the simulation making it less attractive and challenging. It is also costly and tedious to incorporate new rules for an existing game. The main motivation behind this research project is to improve the quality of artificial intelligence- (AI-) based on various techniques such as qualitative spatial reasoning (Forbus et al., 2002), near-optimal hierarchical pathfinding (HPA*) (Botea et al., 2004), and reinforcement learning (RL) (Sutton and Barto, 1998). |
| format | Article |
| id | doaj-art-8377a7cab15b40f79c78363d747d2bba |
| institution | OA Journals |
| issn | 1687-7047 1687-7055 |
| language | English |
| publishDate | 2008-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Computer Games Technology |
| spelling | doaj-art-8377a7cab15b40f79c78363d747d2bba2025-08-20T02:09:01ZengWileyInternational Journal of Computer Games Technology1687-70471687-70552008-01-01200810.1155/2008/873913873913Hierarchical Pathfinding and AI-Based Learning Approach in Strategy Game DesignLe Minh Duc0Amandeep Singh Sidhu1Narendra S. Chaudhari2School of Computer Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, SingaporeSchool of Computer Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, SingaporeSchool of Computer Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, SingaporeStrategy game and simulation application are an exciting area with many opportunities for study and research. Currently most of the existing games and simulations apply hard coded rules so the intelligence of the computer generated forces is limited. After some time, player gets used to the simulation making it less attractive and challenging. It is also costly and tedious to incorporate new rules for an existing game. The main motivation behind this research project is to improve the quality of artificial intelligence- (AI-) based on various techniques such as qualitative spatial reasoning (Forbus et al., 2002), near-optimal hierarchical pathfinding (HPA*) (Botea et al., 2004), and reinforcement learning (RL) (Sutton and Barto, 1998).http://dx.doi.org/10.1155/2008/873913 |
| spellingShingle | Le Minh Duc Amandeep Singh Sidhu Narendra S. Chaudhari Hierarchical Pathfinding and AI-Based Learning Approach in Strategy Game Design International Journal of Computer Games Technology |
| title | Hierarchical Pathfinding and AI-Based Learning Approach in Strategy Game Design |
| title_full | Hierarchical Pathfinding and AI-Based Learning Approach in Strategy Game Design |
| title_fullStr | Hierarchical Pathfinding and AI-Based Learning Approach in Strategy Game Design |
| title_full_unstemmed | Hierarchical Pathfinding and AI-Based Learning Approach in Strategy Game Design |
| title_short | Hierarchical Pathfinding and AI-Based Learning Approach in Strategy Game Design |
| title_sort | hierarchical pathfinding and ai based learning approach in strategy game design |
| url | http://dx.doi.org/10.1155/2008/873913 |
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